Infrared and Laser Engineering, Volume. 50, Issue 8, 20200371(2021)

Target detection performance of infrared spectrum with diffractive optical system

Kai Zhou1,2, Daojing Li1、*, Yefei Wang3, Yuan Yao3, and Ming Qiao1
Author Affiliations
  • 1National Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
  • 3Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
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    The diffractive optical system has the advantages of large diameter and light weight, but its spectral range is narrow and the infrared signal energy that can be used is small. Therefore, it is generally believed that the detection signal to noise ratio (SNR) of the infrared camera will be reduced when it is adopted. Based on the diffractive optical system, the target detection performance of the ground observation infrared camera was analyzed, combined with an example of the calculation of the SNR of the uncooled infrared camera, the viewpoint that infrared cameras based on diffractive optical systems may still have good target detection performance was clarified when the spectral characteristics of ground object background and target were different. Meanwhile, the equivalent noise power of the infrared camera was compared with the laser and the electronic system. As a conclusion, the viewpoint that the performance of the infrared detection system may be further improved was proposed, and a method of introducing the laser local oscillator combined with the electronic filter which can subdivide infrared spectrum to reduce equivalent noise power was given.

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    Kai Zhou, Daojing Li, Yefei Wang, Yuan Yao, Ming Qiao. Target detection performance of infrared spectrum with diffractive optical system[J]. Infrared and Laser Engineering, 2021, 50(8): 20200371

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    Paper Information

    Category: Infrared technology and application

    Received: Dec. 17, 2020

    Accepted: --

    Published Online: Nov. 2, 2021

    The Author Email: Li Daojing (lidj@mail.ie.ac.cn)

    DOI:10.3788/IRLA20200371

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